A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China

Gas explosions and outbursts were the leading types of gas accidents in mining in China with gas concentration exceeding the threshold limit value (TLV) as the leading cause. Current research is focused mainly on using machine learning approaches for avoiding exceeding the TLV of the gas concentrati...

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Autores principales:	Robert M. X. Wu, Wanjun Yan, Zhongwu Zhang, Jinwen Gou, Jianfeng Fan, Bao Liu, Yong Shi, Bo Shen, Haijun Zhao, Yanyun Ma, Jeffrey Soar, Xiangyu Sun, Ergun Gide, Zhigang Sun, Peilin Wang, Xinxin Cui, Ya Wang
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	case study correlational research gas monitoring system machine learning warning system Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61
Acceso en línea:	https://doaj.org/article/1a9f36c461b14280ab660172c33d6b1c
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A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China

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